Intelligent Document Processing Solutions Reviews and Ratings
What are Intelligent Document Processing Solutions?
Gartner defines intelligent document processing (IDP) solutions as specialized data integration tools that enable automated extraction of data from multiple formats and various layouts of document content. IDP solutions ingest data for dependent applications and workflows and can be provided as a software product and/or as a service.
Organizations receive and process documents in multiple formats to enable activities such as onboarding new suppliers, receiving applications for loans or insurance claims. This results in large volumes of documents, the content of which is designed for human comprehension rather than machine processing. Extracting data from content is essential for document processing and the automated activities this supports. IDP solutions fulfill this role, augmented by and potentially replacing people.
Documents are received in physical form, typically paper, which must be scanned for digitization, or in digital form, such as emails and PDFs. The content of these documents has varying layouts, ranging from structured formats, such as tabular or outline (e.g., list or hierarchy of headings) or invoices or contracts, to unstructured formats (i.e., free-flowing, such as an email). Layouts that fall between structured and unstructured, or mixing the two, are often referred to as semistructured.
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Document AI is a software developed by Google that uses artificial intelligence to extract, analyze, and understand data from structured and unstructured documents. The software automates the process of identifying key information within documents such as invoices, contracts, forms, and receipts, converting text and images into actionable data. Document AI integrates with existing workflows, providing tools for data validation, document classification, and optical character recognition. The software addresses business challenges related to manual data entry, enabling organizations to streamline document processing, reduce errors, and improve operational efficiency by leveraging machine learning models for document analysis.
CMR+ is a software developed to automate and streamline document-centric workflows by leveraging artificial intelligence and machine learning techniques. The software is designed to extract, validate, and process data from a variety of structured and unstructured documents, including invoices, contracts, and forms. It supports organizations in digitizing paper-based processes, integrating with existing enterprise resource planning and business systems, and enhancing operational efficiency. By applying cognitive recognition and data extraction capabilities, the software addresses the business need for accurate and reliable information processing, helping reduce manual effort and minimize errors in repetitive tasks related to document handling.
Rossum has built an AI-powered intelligent document processing platform, delivering an advanced transactional document automation platform to 450+ enterprises globally looking to tame document chaos. Focused on driving efficiency and accuracy, Rossum combines an AI-first, cloud-native approach with specialist AI agents to automate document processing workflows end to end, address risks, enhance business relationships, and unlock real-time strategic insights from transactional data. The platform's adaptive design seamlessly integrates human expertise and technology, offering enterprises a tailored solution for optimal return on automation.
Tungsten TotalAgility is a software designed to streamline and automate business processes across a range of industries. It provides features for document processing, workflow automation, and case management, allowing organizations to manage content, extract data, and coordinate tasks efficiently. The software includes capabilities for integrating with existing business applications and systems, automating repetitive manual tasks, capturing data from multiple sources, and enabling process visibility through analytics and monitoring tools. By digitizing and automating both structured and unstructured processes, the software addresses challenges related to operational efficiency, compliance, and data accuracy within enterprise environments.
Agentic Process Automation System is a software developed to automate business processes by integrating artificial intelligence and machine learning components with robotic process automation. The software enables organizations to design, deploy, and manage digital workflows across various departments, aiming to reduce manual intervention in repetitive tasks. It provides features such as task automation, data extraction, workflow orchestration, and analytics to help businesses improve operational efficiency and accuracy. By automating complex processes and supporting integration with other enterprise systems, the software addresses challenges related to process bottlenecks, resource allocation, and scalability.
Amazon Textract is a software that automatically extracts text, handwriting, and data from scanned documents such as forms and tables. It uses machine learning models to analyze and understand the contents of documents in various formats including PDFs and images. The software identifies and retrieves key fields, structured data, and contextual information without the need for manual intervention. Amazon Textract enables businesses to automate document processing workflows and integrate extracted data into downstream systems and applications, helping organizations address challenges related to manual data entry, operational efficiency, and data accuracy.
Nanonets is an AI-driven solution that automates document processing and data extraction workflows. Nanonets helps businesses automate document-heavy business processes like accounts payable, order processing, and insurance underwriting. Leveraging advanced Optical Character Recognition (OCR) and deep learning models,
Nanonets processes unstructured documents such as invoices, receipts, POs, bank statements, bills of lading, contracts, insurance claims, and healthcare forms and converts them into structured output that can be fed into downstream systems.
Amazon Comprehend is a software that applies natural language processing techniques to analyze text and extract key information such as entities, sentiment, language, and topics. The software enables users to perform automated text classification, entity recognition, and syntax analysis. It assists organizations in understanding customer feedback, improving content categorization, and automating data extraction processes. By leveraging machine learning methods, the software addresses business problems related to large-scale text analysis, enabling efficient information management and operational insights from unstructured data.
Azure AI Document Intelligence is a software developed by Microsoft that enables organizations to automate the extraction, analysis, and management of information from various document types, including invoices, receipts, contracts, and forms. The software uses artificial intelligence to identify key-value pairs, tables, and text, streamlining data capture and reducing manual processing. It supports customization to accommodate complex or structured documents and integrates with existing business workflows to increase operational efficiency. Azure AI Document Intelligence is designed to address the challenge of processing large volumes of documents by providing scalable solutions for data extraction, organization, and compliance, contributing to more informed decision-making and improved productivity in document-centric business processes.
Blue Prism Decipher IDP is a software designed for intelligent document processing, enabling organizations to automatically extract, classify, and validate information from structured and unstructured documents. The software uses machine learning and optical character recognition to convert scanned images, PDFs, and other document formats into usable digital data. It streamlines document-driven workflows by integrating with robotic process automation, reducing manual effort and minimizing errors in data entry. Blue Prism Decipher IDP supports various document types and applies customizable business rules to ensure accurate data extraction, helping businesses improve operational efficiency and optimize information management in processes such as invoice handling, contract processing, and compliance documentation.
ABBYY FlexiCapture is a data capture and document processing software designed to extract, classify, and validate information from a variety of documents such as invoices, forms, and contracts. The software utilizes optical character recognition and machine learning technologies to automatically identify and extract relevant data fields from structured and unstructured documents. It supports multi-channel input, enabling the processing of documents from scanned paper, email, and other digital sources. ABBYY FlexiCapture enables workflow automation by integrating with enterprise systems to streamline data entry, reduce manual errors, and improve data accuracy. Organizations use the software to enhance operational efficiency and meet compliance requirements by facilitating secure storage and retrieval of digitized information.
OpenText Intelligent Capture is a software that automates the process of extracting, classifying, and validating data from various types of business documents such as invoices, forms, and contracts. The software utilizes machine learning and advanced recognition technologies to analyze document content, reducing manual data entry and streamlining information capture. It integrates with enterprise systems to route data efficiently, supporting compliance and reducing processing times. OpenText Intelligent Capture addresses the business problem of managing large volumes of unstructured and structured data, helping organizations improve operational efficiency and accuracy in document-driven processes.
ABBYY FineReader PDF is a software that enables users to work with digital and scanned documents by providing optical character recognition and document conversion capabilities. It allows the conversion of paper documents, PDFs, and images into editable and searchable formats while preserving the original layout and structure. The software supports extensive document comparison features to identify differences between versions and offers tools for collaboration, annotation, and digital signatures. It aims to streamline document-related workflows by enhancing efficiency in managing, editing, and sharing documents within organizations.
The Hyperscience Intelligent Document Processing platform delivers high levels of accuracy via proprietary machine learning models to classify and extract printed and handwritten text from any document, from structured forms to complex and unstructured documents.
The Hyperscience Platform is built to ensure that humans and the machine work collaboratively through an intuitive, user-friendly interface; involving employees at any stage of the process only when the software is not confident enough to meet the accuracy Service Level Agreements predefined by the customer.
Hyperscience platform capabilities go well beyond data extraction, helping customers act on that data through bespoke workflows to do things like validating, enriching, and discovering that data - ultimately, ensuring that accurate data flows into downstream systems to enable better decisions.
ABBYY Vantage is a software designed to facilitate intelligent document processing by leveraging artificial intelligence for extracting and understanding information from various document types. The software offers features such as optical character recognition, automated data extraction, and classification, which help organizations digitize, process, and integrate content from unstructured documents into business workflows. ABBYY Vantage enables automation across diverse industries by transforming document-based information into structured data that can be used for operational efficiency, compliance, and decision-making. The software addresses business challenges related to manual data entry, document handling, and optimizing document-driven processes.
Hypatos is a software designed to automate and streamline document processing tasks through artificial intelligence and machine learning capabilities. The software focuses on extracting and interpreting data from various financial and administrative documents, including invoices, receipts, and contracts, aiming to reduce manual effort and minimize errors associated with repetitive data entry. It provides features such as optical character recognition, data validation, and integration with existing enterprise resource planning and accounting systems. Organizations utilize Hypatos to increase efficiency in back-office operations, enhance accuracy in document handling, and address challenges related to the scalability of manual document processing workloads.
Amantra Agentic Intelligence Platform is built to move beyond traditional automation by enabling AI agents that can understand, decide, and act autonomously. Instead of merely automating repetitive tasks, AIRA’s agents orchestrate entire workflows, coordinate between applications, and take context-aware actions to optimize business operations.
Appian is a software company that automates business processes. The Appian AI Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences.
DoqumentAI is a software that automates the extraction, classification, and processing of data from various document types using artificial intelligence and machine learning technologies. The software is designed to handle structured and unstructured documents, enabling businesses to streamline workflows and reduce manual data entry. DoqumentAI supports capabilities such as data validation, document indexing, and integration with other enterprise systems, aiming to improve accuracy and efficiency in document-centric processes. It addresses business problems related to document management, compliance, and operational productivity by transforming information from physical and digital documents into usable data.
Features of Intelligent Document Processing Solutions
Updated December 2025Mandatory Features:
Ingestion of documents as digital files in multiple formats and varying layouts
Extraction of data from content (images, text and content in multiple languages)
Extracted data review, including automated and human-in-the-loop checking, correction and override
Information retrieval and synthesis
Integration of extracted data into third-party applications and digital file formats
Data preprocessing, including document classification
Orchestration and automation, including low-code/no-code, business rule engine, etc.
Administration for configuration, deployment and customization
















